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Multi-Task Learning

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

( Image credit: Cross-stitch Networks for Multi-task Learning )

Papers

Showing 751800 of 3687 papers

TitleStatusHype
A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor DetectionCode0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
A Tree-Structured Multi-Task Model RecommenderCode0
Attentive Task Interaction Network for Multi-Task LearningCode0
Achievement-Based Training Progress Balancing for Multi-Task LearningCode0
Joint Training on Multiple Datasets With Inconsistent Labeling Criteria for Facial Expression RecognitionCode0
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer TranscriptomeCode0
DeepFL-IQA: Weak Supervision for Deep IQA Feature LearningCode0
Accurate Word Alignment Induction from Neural Machine TranslationCode0
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language DetectionCode0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic CharacterizationCode0
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word EmbeddingsCode0
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance AugmentationCode0
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task LearningCode0
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-TuningCode0
Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better GeneralizationCode0
Improving Robustness of Neural Machine Translation with Multi-task LearningCode0
DCID: Deep Canonical Information DecompositionCode0
Deep Learning for Patient-Specific Kidney Graft Survival AnalysisCode0
Improving Neural Story Generation by Targeted Common Sense GroundingCode0
Improving Relation Extraction by Leveraging Knowledge Graph Link PredictionCode0
Improving Sentiment Analysis with Multi-task Learning of NegationCode0
Internal-transfer Weighting of Multi-task Learning for Lung Cancer DetectionCode0
DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural NetworksCode0
Learning a Repression Network for Precise Vehicle SearchCode0
AdaShare: Learning What To Share For Efficient Deep Multi-Task LearningCode0
Improving End-to-End Text Image Translation From the Auxiliary Text Translation TaskCode0
ALUE: Arabic Language Understanding EvaluationCode0
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled DataCode0
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role LabelingCode0
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task LearningCode0
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case StudyCode0
Data Fusion for Multi-Task Learning of Building Extraction and Height EstimationCode0
Asynchronous Multi-Task LearningCode0
Learning Sparse Sharing Architectures for Multiple TasksCode0
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated dataCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
A Unified Framework for Multi-intent Spoken Language Understanding with promptingCode0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement LearningCode0
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for MarketingCode0
A Unified Mammogram Analysis Method via Hybrid Deep SupervisionCode0
Learning to Maximize Mutual Information for Chain-of-Thought DistillationCode0
A Survey on Multi-Task LearningCode0
Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)Code0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Deep Multi-task Representation Learning: A Tensor Factorisation ApproachCode0
Imbalanced multi-label classification using multi-task learning with extractive summarizationCode0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PCGrad∆m%125.7Unverified
2CAGrad∆m%112.8Unverified
3IMTL-G∆m%77.2Unverified
4Nash-MTL∆m%62Unverified
5BayesAgg-MTL∆m%53.7Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLmIoU76.41Unverified
2Nash-MTLmIoU75.41Unverified
3MultiObjectiveOptimizationmIoU66.63Unverified
#ModelMetricClaimedVerifiedStatus
1SwinMTLMean IoU58.14Unverified
2Nash-MTLMean IoU40.13Unverified
#ModelMetricClaimedVerifiedStatus
1Gumbel-Matrix RoutingAverage Accuracy93.52Unverified
2Mixture-of-ExpertsAverage Accuracy92.19Unverified
#ModelMetricClaimedVerifiedStatus
1MGDA-UBError8.25Unverified
#ModelMetricClaimedVerifiedStatus
1BayesAgg-MTLdelta_m-2.23Unverified
#ModelMetricClaimedVerifiedStatus
1LETRFH83.3Unverified